This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
January 1986 (vol. 8 no. 1)
pp. 44-54
Nicholas Ayache, Computer Vision and Robotics Group, INRIA, 78153 Le Chesnay Cedex, France.
Olivier D. Faugeras, Computer Vision and Robotics Group, INRIA, 78153 Le Chesnay Cedex, France.
A new method has been designed to identify and locate objects lying on a flat surface. The merit of the approach is to provide strong robustness to partial occlusions (due for instance to uneven lighting conditions, shadows, highlights, touching and overlapping objects) thanks to a local and compact description of the objects boundaries and to a new fast recognition method involving generation and recursive evaluation of hypotheses named HYPER (HY potheses Predicted and Evaluated Recursively). The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatic picking and repositioning of partially overlapping industrial parts.
Citation:
Nicholas Ayache, Olivier D. Faugeras, "HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 8, no. 1, pp. 44-54, Jan. 1986, doi:10.1109/TPAMI.1986.4767751
Usage of this product signifies your acceptance of the Terms of Use.